本文關鍵詞： 復合絕緣子 覆冰 泄漏電流 冰閃電壓評估 紫外光子　出處：《重慶大學》2014年碩士論文　論文類型：學位論文

【摘要】：絕緣子是電力系統(tǒng)中使用量最多的器件，冰災事故的頻繁發(fā)生導致輸電線路絕緣子覆冰，嚴重威脅電力系統(tǒng)的安全穩(wěn)定運行。目前國內外開展了大量絕緣子覆冰的特性研究，但是絕緣子覆冰閃絡預警卻鮮有研究，目前尚未提出統(tǒng)一的評判覆冰絕緣子運行狀態(tài)的有效特征量。因此本文對110kV復合絕緣子進行了大量覆冰試驗，采集了不同覆冰狀態(tài)下復合絕緣子融冰過程中運行電壓下的泄漏電流以及紫外光子數，提取了能準確反映絕緣子運行狀態(tài)的泄漏電流和紫外光子特征參量，給出了特征參量同鹽密和覆冰量之間的關系，建立了兩種評估模型預測冰閃電壓，提出了覆冰絕緣子閃絡分級預警方案。本文主要的結論為： ①本文對110kV復合絕緣子進行了覆冰試驗，共模擬了5種覆冰程度、6種鹽密共30種覆冰狀態(tài)，分析了融冰過程中泄漏電流的變化過程，研究融冰過程中運行電壓下泄漏電流同覆冰程度以及鹽密之間的關系，提取了有效反映絕緣子覆冰狀態(tài)的泄漏電流特征參量，得到特征參量同覆冰狀態(tài)之間的關系。 ②本文采集了110kV復合絕緣子在不同覆冰程度以及鹽密下的紫外光子數，分析了融冰過程中紫外光子變化過程，提取了能有效反應放電程度的特征參量：紫外光子數平均值N，給出了紫外光子平均值與鹽密和覆冰量之間的關系，并進行了閃絡電壓試驗，得到了不同鹽密和覆冰量下的閃絡電壓值，，擬合了閃絡電壓同鹽密和覆冰量之間的關系。 ③本文提出了兩種覆冰絕緣子閃絡電壓評估模型，分別是廣義神經回歸網絡以及最小支持向量機評估模型，對模型進行訓練，并通過實驗驗證了模型的準確性，結果表明兩種模型的最大誤差分別為9.04%以及9.24%。提出了覆冰絕緣子覆冰閃絡分級預警方法。
[Abstract]:Insulators are the most widely used devices in power system. The frequent occurrence of ice disaster causes the insulators of transmission lines to be covered with ice, which seriously threatens the safe and stable operation of power system. At present, a large number of research on the characteristics of insulator icing has been carried out at home and abroad. However, there is little research on the ice flashover warning of insulators. At present, there is no uniform effective characteristic quantity for judging the operation state of icing insulators. Therefore, a large number of icing tests have been carried out on 110 kV composite insulators in this paper. The leakage current and the number of ultraviolet photons in the operation voltage of the composite insulator in the process of melting the ice under different icing conditions were collected, and the leakage current and the characteristic parameters of the ultraviolet light which could accurately reflect the running state of the insulator were extracted. The relationship between characteristic parameters and salt density and ice content is given, two evaluation models are established to predict the lightning pressure of ice, and an ice insulator flashover classification early warning scheme is proposed. The main conclusions of this paper are as follows:. 1 in this paper, the icing test of 110 kV composite insulator is carried out, and the ice state of 5 kinds of icing degree and 6 kinds of salt density are simulated, and the variation process of leakage current during melting process is analyzed. The relationship between leakage current and icing degree and salt density in the process of melting ice is studied. The characteristic parameters of leakage current which effectively reflect the ice state of insulator are extracted, and the relationship between the characteristic parameters and the ice state of insulator is obtained. In this paper, the ultraviolet photons of 110 kV composite insulators under different icing degree and salt density are collected, and the variation process of ultraviolet photons during melting ice is analyzed. In this paper, the characteristic parameters of the discharge degree of effective reaction are extracted: the average number of ultraviolet photons N, the relationship between the average value of ultraviolet photons and salt density and ice content, and the flashover voltage test is carried out. The flashover voltage values under different salt density and ice content are obtained, and the relationship between flashover voltage and salt density and ice content is fitted. In this paper, two kinds of evaluation models of flashover voltage of icing insulator are proposed, which are generalized neural regression network and minimum support vector machine evaluation model. The model is trained, and the accuracy of the model is verified by experiments. The results show that the maximum errors of the two models are 9.04% and 9.24.The method of ice flashover classification early warning for icing insulators is proposed.
【學位授予單位】：重慶大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM216

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本文編號：1549820